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Ausführbare Rauchtests für Shell-Skripte und CLIs vor Refactori…

Nutzen Sie Bats-core, wenn ein Agent fragile Shell-Skripte oder CLI-Workflows in etwas verwandeln muss, das er nach Änderungen wiederholt überprüfen kann. Der Agent schreibt fokussierte Bash-Tests für Erfolgs- und Fehlerpfade sowie Ausgabeerwartungen und führt sie lokal oder in der CI aus, bevor ein Refactoring, Release oder Incident-Fix ausgerollt wird.

Was ist Ausführbare Rauchtests für Shell-Skripte und CLIs vor Refactori…?

Diese Fähigkeit ermöglicht es KI-Agenten (wie Claude Code, Cursor oder Codex), automatisierte Rauchtests für Shell-Skripte und CLI-Werkzeuge mit Bats-core zu erstellen und auszuführen. Sie ist besonders nützlich, um fragile Bash-basierte Workflows abzusichern, bevor Änderungen wie Refactorings, Releases oder Hotfixes ausgeliefert werden. Der Agent generiert Tests, die sowohl Erfolgs- als auch Fehlerfälle abdecken und Ausgabe-Contracts prüfen. Die Tests können lokal oder in CI-Umgebungen gestartet werden und bieten eine wiederholbare Verifizierung nach jeder Bearbeitung. Unterstützt wird die Fähigkeit durch Bats-core, das zuvor installiert sein muss. Die generierten Tests helfen, Regressionen zu vermeiden und die Stabilität von Kommandozeilen-Tools zu gewährleisten.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-shell-and-cli-smoke-tests-before-refactors-ship
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Dokumentation

Ausführbare Rauchtests für Shell-Skripte und CLIs vor Refactorings ausliefern

Nutzen Sie Bats-core, wenn ein Agent fragile Shell-Skripte oder CLI-Workflows in etwas verwandeln muss, das er nach Änderungen wiederholt überprüfen kann. Der Agent schreibt fokussierte Bash-Tests für Erfolgs- und Fehlerpfade sowie Ausgabeerwartungen und führt sie lokal oder in der CI aus, bevor ein Refactoring, Release oder Incident-Fix ausgerollt wird.

Voraussetzungen

Bash sowie Bats-core und die zu testenden Shell-Skripte oder CLI-Befehle

Installation

Es konnten keine quellbasierten Installations- oder Nutzungsanweisungen automatisch extrahiert werden. Überprüfen Sie das Upstream-Projekt, bevor Sie diese Fähigkeit in einem sensiblen Workflow einsetzen.

Dokumentation

Quelle

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

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Add multimodal lifelong memory to MCP and Python agents with Sim

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Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

Adobe Photoshop API Batch Processor

Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.

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